C. Aeschliman, J. Park, and A. C. Kak, A probabilistic framework for joint segmentation and tracking, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1371-1378, 2010.
DOI : 10.1109/CVPR.2010.5539810

S. Agarwal, A. Awan, and D. Roth, Learning to detect objects in images via a sparse, part-based representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.11, pp.1475-1490, 2004.
DOI : 10.1109/TPAMI.2004.108

A. K. Aijazi, P. Checchin, and L. Trassoudaine, Detecting and Updating Changes in Lidar Point Clouds for Automatic 3D Urban Cartography, II-5/W2, pp.7-12, 2013.
DOI : 10.5194/isprsannals-II-5-W2-7-2013

M. Andriluka, S. Roth, and B. Schiele, People-tracking-by-detection and people-detectionby-tracking, IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.

J. Arróspide, L. Salgado, and J. Marinas, HOG-like gradient-based descriptor for visual vehicle detection, 2012 IEEE Intelligent Vehicles Symposium, pp.223-228, 2012.
DOI : 10.1109/IVS.2012.6232119

A. Banno, T. Masuda, T. Oishi, and K. Ikeuchi, Flying Laser Range Sensor for Large-Scale Site-Modeling and Its Applications in Bayon Digital Archival Project, International Journal of Computer Vision, vol.13, issue.3, pp.207-222, 2008.
DOI : 10.1007/s11263-007-0104-6

C. Benedek, M. Shadaydeh, Z. Kato, T. Szirányi, and J. Zerubia, Multilayer Markov Random Field models for change detection in optical remote sensing images, ISPRS Journal of Photogrammetry and Remote Sensing, vol.107, pp.22-37, 2015.
DOI : 10.1016/j.isprsjprs.2015.02.006

URL : https://hal.archives-ouvertes.fr/hal-01116609

A. Bensrhair, M. Bertozzi, A. Broggi, A. Fascioli, S. Mousset et al., Stereo vision-based feature extraction for vehicle detection, Intelligent Vehicle Symposium, 2002. IEEE, pp.465-470, 2002.
DOI : 10.1109/IVS.2002.1187994

K. Bernardin and R. Stiefelhagen, Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics, EURASIP Journal on Image and Video Processing, vol.4625, pp.1-10, 2008.
DOI : 10.1137/0105003

M. Betke, E. Haritaoglu, and L. S. Davis, Real-time multiple vehicle detection and tracking from a moving vehicle, Machine vision and applications, pp.69-83, 2000.
DOI : 10.1007/s001380050126

S. M. Bileschi, B. Leung, and R. M. Rifkin, Towards component-based car detection, ECCV Workshop on Statistical Learning and Computer Vision, 2004.

A. Börcs and C. Benedek, A MARKED POINT PROCESS MODEL FOR VEHICLE DETECTION IN AERIAL LIDAR POINT CLOUDS, ISPRS Annals of the Photogrammetry, pp.93-98, 2012.
DOI : 10.5194/isprsannals-I-3-93-2012

L. Breiman, Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

T. Butkiewicz, R. Chang, Z. Wartell, and W. Ribarsky, Visual Analysis and Semantic Exploration of Urban LIDAR Change Detection, Computer Graphics Forum, vol.34, issue.7, pp.903-910, 2008.
DOI : 10.1111/j.1467-8659.2008.01223.x

C. Caraffi, T. Vojir, J. Trefny, J. Sochman, and J. Matas, A system for real-time detection and tracking of vehicles from a single car-mounted camera, 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp.975-982, 2012.
DOI : 10.1109/ITSC.2012.6338748

N. Champion, F. Rottensteiner, L. Matikainen, X. Liang, J. Hyyppä et al., A test of automatic building change detection approaches. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.3, pp.145-150, 2009.

C. Chang and C. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-2727, 2011.
DOI : 10.1145/1961189.1961199

A. Chauve, P. Labatut, and J. Pons, Robust piecewise-planar 3D reconstruction and completion from large-scale unstructured point data, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1261-1268, 2010.
DOI : 10.1109/CVPR.2010.5539824

URL : https://hal.archives-ouvertes.fr/hal-00654408

Y. Chen and C. Lin, Combining SVMs with Various Feature Selection Strategies, pp.315-324, 2006.
DOI : 10.1007/978-3-540-35488-8_13

K. Choi, I. Lee, and S. Kim, A feature based approach to automatic change detection from LiDAR data in Urban areas, International Archives of the Photogrammetry, pp.259-264, 2009.

T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, Active Shape Models-Their Training and Application, Computer Vision and Image Understanding, vol.61, issue.1, pp.38-59, 1995.
DOI : 10.1006/cviu.1995.1004

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995.
DOI : 10.1007/BF00994018

A. Dehghan, S. M. Assari, and M. Shah, GMMCP tracker: Globally optimal Generalized Maximum Multi Clique problem for multiple object tracking, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), p.2, 2015.
DOI : 10.1109/CVPR.2015.7299036

J. Demantké, Reconstruction de modéles 3d photoréalistes de façadesfaçades´façadesá partir de données image et laser terrestre, Thèse de Doctorat, 2014.

I. Eden and D. B. Cooper, Using 3D Line Segments for Robust and Efficient Change Detection from Multiple Noisy Images, European Conference on Computer Vision (ECCV), pp.172-185, 2008.
DOI : 10.1007/978-3-540-88693-8_13

P. F. Felzenszwalb, R. B. Girshick, D. Mcallester, and D. Ramanan, Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1627-1645, 2010.
DOI : 10.1109/TPAMI.2009.167

J. Ferryman, A. Worrall, G. Sullivan, and K. Baker, A Generic Deformable Model for Vehicle Recognition., Procedings of the British Machine Vision Conference 1995, 1995.
DOI : 10.5244/C.9.13

M. A. Fischler and R. C. Bolles, Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography, Communications of the ACM, vol.24, issue.6, pp.381-395, 1981.
DOI : 10.1145/358669.358692

C. Früh and A. Zakhor, An Automated Method for Large-Scale, Ground-Based City Model Acquisition, International Journal of Computer Vision, vol.60, issue.1, pp.5-24, 2004.
DOI : 10.1023/B:VISI.0000027787.82851.b6

D. Girardeau-montaut, M. Roux, R. Marc, and G. Thibault, Change detection on points cloud data acquired with a ground laser scanner, International Archives of the Photogrammetry, pp.30-35, 2005.

A. Golovinskiy, V. G. Kim, and T. Funkhouser, Shape-based recognition of 3D point clouds in urban environments, 2009 IEEE 12th International Conference on Computer Vision, pp.2154-2161, 2009.
DOI : 10.1109/ICCV.2009.5459471

J. Gong, H. Sui, G. Ma, and Q. Zhou, A review of multi-temporal remote sensing data change detection algorithms. The International Archives of the Photogrammetry Remote Sensing and Spatial, Information Sciences, vol.37, pp.757-762, 2008.

N. Greene, Detecting Intersection of a Rectangular Solid and a Convex Polyhedron, pp.74-82, 1994.
DOI : 10.1016/B978-0-12-336156-1.50016-1

A. Gressin, N. Vincent, C. Mallet, and N. Paparoditis, Semantic Approach in Image Change Detection, pp.450-459, 2013.
DOI : 10.1007/978-3-319-02895-8_40

URL : https://hal.archives-ouvertes.fr/hal-00920944

S. Gupte, O. Masoud, R. F. Martin, and N. P. Papanikolopoulos, Detection and classification of vehicles, IEEE Transactions on Intelligent Transportation Systems, vol.3, issue.1, pp.37-47, 2002.
DOI : 10.1109/6979.994794

M. Hebel, M. Arens, and U. Stilla, Change detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS data, ISPRS Journal of Photogrammetry and Remote Sensing, vol.86, pp.52-64, 2013.
DOI : 10.1016/j.isprsjprs.2013.09.005

J. Hernández and B. Marcotegui, Filtering of artifacts and pavement segmentation from mobile LIDAR data, International Archives of the Photogrammetry, pp.329-333, 2009.

J. Hernández and B. Marcotegui, Point cloud segmentation towards urban ground modeling, 2009 Joint Urban Remote Sensing Event, pp.1-5, 2009.
DOI : 10.1109/URS.2009.5137562

M. Himmelsbach, A. Müller, T. Lüttel, and H. Wünsche, LIDAR-based 3D object perception, Proceedings of 1st International Workshop on Cognition for Technical Systems, 2008.

S. Hinz, C. Schlosser, and J. Reitberger, Automatic car detection in high resolution urban scenes based on an adaptive 3D-model, 2003 Remote Sensing and Data Fusion over Urban Areas. 2nd GRSS/ISPRS Joint Workshop on, pp.167-171, 2003.
DOI : 10.1109/DFUA.2003.1219980

S. Hosseinyalamdary and A. Yilmaz, Merging Trajectory and Point Clouds for 3D Object Tracking, Photogrammetric Computer Vision Symposium Tracking Challenge, 2014.

K. Hsiao, J. Liu, M. Yu, and Y. Tseng, Change detection of landslide terrains using groundbased LiDAR data, 2004.

C. Huang and W. Liao, A vision-based vehicle identification system, International Conference on Pattern Recognition, 2004.

M. Hussain, D. Chen, A. Cheng, H. Wei, and D. Stanley, Change detection from remotely sensed images: From pixel-based to object-based approaches, ISPRS Journal of Photogrammetry and Remote Sensing, vol.80, pp.91-106, 2013.
DOI : 10.1016/j.isprsjprs.2013.03.006

M. Irani and P. Anandan, A unified approach to moving object detection in 2D and 3D scenes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.6, pp.577-589, 1998.
DOI : 10.1109/34.683770

A. Jazayeri, H. Cai, J. Y. Zheng, and M. Tuceryan, Vehicle Detection and Tracking in Car Video Based on Motion Model, IEEE Transactions on Intelligent Transportation Systems, vol.12, issue.2, pp.583-595, 2011.
DOI : 10.1109/TITS.2011.2113340

N. Kaempchen, U. Franke, and R. Ott, Stereo vision based pose estimation of parking lots using 3D vehicle models, Intelligent Vehicle Symposium, 2002. IEEE, pp.459-464, 2002.
DOI : 10.1109/IVS.2002.1187993

R. Kaestner, J. Maye, Y. Pilat, and R. Siegwart, Generative object detection and tracking in 3D range data, 2012 IEEE International Conference on Robotics and Automation, pp.3075-3081, 2012.
DOI : 10.1109/ICRA.2012.6224585

Z. Kang, L. Zhang, H. Yue, and R. Lindenbergh, Range Image Techniques for Fast Detection and Quantification of Changes in Repeatedly Scanned Buildings, Photogrammetric Engineering & Remote Sensing, vol.79, issue.8, pp.695-707, 2013.
DOI : 10.14358/PERS.79.8.695

C. T. Keat, C. Pradalier, and C. Laugier, Vehicle detection and car park mapping using laser scanner, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2054-2060, 2005.
DOI : 10.1109/IROS.2005.1545233

J. Ko?ecka, Detecting Changes in Images of Street Scenes, Asian Conference on Computer Vision (ACCV), pp.590-601, 2013.
DOI : 10.1007/978-3-642-37447-0_45

H. Koyasu, J. Miura, and Y. Shirai, Real-time omnidirectional stereo for obstacle detection and tracking in dynamic environments, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), pp.31-36, 2001.
DOI : 10.1109/IROS.2001.973332

F. Lafarge and C. Mallet, Building large urban environments from unstructured point data, 2011 International Conference on Computer Vision, pp.1068-1075, 2011.
DOI : 10.1109/ICCV.2011.6126353

URL : https://hal.archives-ouvertes.fr/hal-00759269

M. Leotta and J. Mundy, Predicting high resolution image edges with a generic, adaptive, 3-D vehicle model, 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp.1311-1318, 2009.
DOI : 10.1109/CVPR.2009.5206738

M. J. Leotta and J. L. Mundy, Vehicle Surveillance with a Generic, Adaptive, 3D Vehicle Model, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.7, pp.1457-1469, 2010.
DOI : 10.1109/TPAMI.2010.217

Y. Lin, V. I. Morariu, W. Hsu, and L. S. Davis, Jointly Optimizing 3D Model Fitting and Fine-Grained Classification, European Conference on Computer Vision (ECCV), pp.466-480, 2014.
DOI : 10.1007/978-3-319-10593-2_31

R. Lindenbergh and P. Pietrzyk, Change detection and deformation analysis using static and mobile laser scanning, Applied Geomatics, vol.XXXVI, issue.3, pp.65-74, 2015.
DOI : 10.1007/s12518-014-0151-y

M. Lindström and J. Eklundh, Detecting and tracking moving objects from a mobile platform using a laser range scanner, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180), pp.1364-1369, 2001.
DOI : 10.1109/IROS.2001.977171

D. Lu, P. Mausel, E. Brondizio, and E. Moran, Change detection techniques, International Journal of Remote Sensing, vol.66, issue.12, pp.2365-2401, 2004.
DOI : 10.1659/0276-4741(2001)021[0175:LCCATA]2.0.CO;2

C. Mallet and F. Bretar, Full-waveform topographic lidar: State-of-the-art, ISPRS Journal of Photogrammetry and Remote Sensing, vol.64, issue.1, pp.1-16, 2009.
DOI : 10.1016/j.isprsjprs.2008.09.007

L. Matikainen, J. Hyyppä, and H. Hyyppä, Automatic detection of buildings from laser scanner data for map updating, International Archives of the Photogrammetry, pp.218-224, 2003.

A. Milan, L. Leal-taixé, K. Schindler, and I. Reid, Joint tracking and segmentation of multiple targets, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.5397-5406, 2015.
DOI : 10.1109/CVPR.2015.7299178

A. Milan, S. Roth, and K. Schindler, Continuous Energy Minimization for Multitarget Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.1, pp.58-72, 2014.
DOI : 10.1109/TPAMI.2013.103

F. Monnier, Amélioration de la localisation 3D de véhicules mobilesámobiles´mobilesá l'aide de cartes ou modéles 3D, Thèse de Doctorat, 2014.

F. Monnier, B. Vallet, N. Paparoditis, J. Papelard, and N. David, Registration of terrestrial mobile laser data on 2D or 3D geographic database by use of a non-rigid ICP approach., ISPRS Annals of the Photogrammetry, pp.193-198, 2013.
DOI : 10.5194/isprsannals-II-5-W2-193-2013

F. Monnier, B. Vallet, and B. Soheilian, TREES DETECTION FROM LASER POINT CLOUDS ACQUIRED IN DENSE URBAN AREAS BY A MOBILE MAPPING SYSTEM, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.3, pp.245-250, 2012.
DOI : 10.5194/isprsannals-I-3-245-2012

F. Moosmann and C. Stiller, Velodyne SLAM, 2011 IEEE Intelligent Vehicles Symposium (IV), pp.393-398, 2011.
DOI : 10.1109/IVS.2011.5940396

F. Moosmann and C. Stiller, Joint self-localization and tracking of generic objects in 3D range data, 2013 IEEE International Conference on Robotics and Automation, pp.1146-1152, 2013.
DOI : 10.1109/ICRA.2013.6630716

J. Moras, V. Cherfaoui, and P. Bonnifait, Credibilist occupancy grids for vehicle perception in dynamic environments, 2011 IEEE International Conference on Robotics and Automation, pp.84-89, 2011.
DOI : 10.1109/ICRA.2011.5980298

URL : https://hal.archives-ouvertes.fr/hal-00615303

H. Murakami, K. Nakagawa, H. Hasegawa, T. Shibata, and E. Iwanami, Change detection of buildings using an airborne laser scanner, ISPRS Journal of Photogrammetry and Remote Sensing, vol.54, issue.2-3, pp.148-152, 1999.
DOI : 10.1016/S0924-2716(99)00006-4

H. Murakami, K. Nakagawa, T. Shibata, and E. Iwanami, Potential of an airborne laser scanner system for change detection of urban features and orthoimage development, International Archives of Photogrammetry and Remote Sensing, vol.32, pp.422-427, 1998.

S. Bibliography-niskanen and P. R. Ostergård, Cliquer User's Guide, Version 1.0. Tech. rep, 2003.

O. 'callaghan, R. Haga, and T. , Robust change-detection by normalised gradient-correlation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1-8, 2007.

D. Pagac, E. Nebot, and H. Durrant-whyte, An evidential approach to probabilistic map-building, Proceedings of IEEE International Conference on Robotics and Automation, pp.745-750, 1996.
DOI : 10.1109/ROBOT.1996.503863

N. Paparoditis, J. Papelard, B. Cannelle, A. Devaux, B. Soheilian et al., Stereopolis II: A multi-purpose and multi-sensor 3D mobile mapping system for street visualisation and 3D metrology, pp.69-79, 2012.

T. Pollard and J. L. Mundy, Change Detection in a 3-d World, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-6, 2007.
DOI : 10.1109/CVPR.2007.383073

F. Pomerleau, F. Colas, R. Siegwart, and S. Magnenat, Comparing ICP variants on real-world data sets, Autonomous Robots, vol.25, issue.3, pp.133-148, 2013.
DOI : 10.1007/s10514-013-9327-2

URL : https://hal.archives-ouvertes.fr/hal-01143458

C. Poullis, A Framework for Automatic Modeling from Point Cloud Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.11, pp.2563-2575, 2013.
DOI : 10.1109/TPAMI.2013.64

S. Pu, M. Rutzinger, G. Vosselman, and S. Oude-elberink, Recognizing basic structures from mobile laser scanning data for road inventory studies, ISPRS Journal of Photogrammetry and Remote Sensing, vol.66, issue.6, pp.28-39, 2011.
DOI : 10.1016/j.isprsjprs.2011.08.006

R. Qin and A. Gruen, 3D change detection at street level using mobile laser scanning point clouds and terrestrial images, ISPRS Journal of Photogrammetry and Remote Sensing, vol.90, pp.23-35, 2014.
DOI : 10.1016/j.isprsjprs.2014.01.006

R. J. Radke, S. Andra, O. Al-kofahi, and B. Roysam, Image change detection algorithms: a systematic survey, IEEE Transactions on Image Processing, vol.14, issue.3, pp.294-307, 2005.
DOI : 10.1109/TIP.2004.838698

D. B. Reid, An algorithm for tracking multiple targets, IEEE Transactions on Automatic Control, vol.24, issue.6, pp.843-854, 1979.
DOI : 10.1109/TAC.1979.1102177

M. Rutzinger, B. Ruf, B. Höfle, and M. Vetter, Change detection of building footprints from airborne laser scanning acquired in short time intervals, International Archives of the Photogrammetry, pp.475-480, 2010.

K. Sakurada, T. Okatani, and K. Deguchi, Detecting Changes in 3D Structure of a Scene from Multi-view Images Captured by a Vehicle-Mounted Camera, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.137-144, 2013.
DOI : 10.1109/CVPR.2013.25

K. Schindler, A. Ess, B. Leibe, and L. Van-gool, Automatic detection and tracking of pedestrians from a moving stereo rig, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.6, pp.523-537, 2010.
DOI : 10.1016/j.isprsjprs.2010.06.006

K. Schindler, U. James, and H. Wang, Perspective n-View Multibody Structure-and-Motion Through Model Selection, European Conference on Computer Vision (ECCV), pp.606-619, 2006.
DOI : 10.1007/11744023_47

A. Serna and B. Marcotegui, Urban accessibility diagnosis from mobile laser scanning data, ISPRS Journal of Photogrammetry and Remote Sensing, vol.84, pp.23-32, 2013.
DOI : 10.1016/j.isprsjprs.2013.07.001

URL : https://hal.archives-ouvertes.fr/hal-00963820

A. Serna and B. Marcotegui, Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning, ISPRS Journal of Photogrammetry and Remote Sensing, vol.93, pp.243-255, 2014.
DOI : 10.1016/j.isprsjprs.2014.03.015

URL : https://hal.archives-ouvertes.fr/hal-01010012

J. Shackleton, B. Vanvoorst, and J. Hesch, Tracking People with a 360-Degree Lidar, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp.420-426, 2010.
DOI : 10.1109/AVSS.2010.52

A. Singh, Review Article Digital change detection techniques using remotely-sensed data, International Journal of Remote Sensing, vol.43, issue.6, pp.989-1003, 1989.
DOI : 10.1016/0034-4257(79)90013-0

L. Spinello, M. Luber, and K. O. Arras, Tracking people in 3D using a bottom-up topdown detector, IEEE International Conference on Robotics and Automation (ICRA), pp.1304-1310, 2011.

M. Stark, J. Krause, B. Pepik, D. Meger, J. Little et al., Fine-Grained Categorization for 3D Scene Understanding, Procedings of the British Machine Vision Conference 2012, pp.1-12
DOI : 10.5244/C.26.36

E. Steinle and H. Bahr, Detectability Of Urban Changes From Airborne Laser scanning Data, International Archives of the Photogrammetry, pp.1135-1140, 2003.

E. Steinle, F. Oliveira, H. Bähr, and C. Loch, Assessment of Laser Scanning Technology for Change Detection in Buildings, Proceedings XVIIth CIPA Symposium, 1999.

G. Sullivan, K. Baker, A. Worrall, C. Attwood, and P. Remagnino, Model-based vehicle detection and classification using orthographic approximations, Image and Vision Computing, vol.15, issue.8, pp.649-654, 1997.
DOI : 10.1016/S0262-8856(97)00009-7

G. Sullivan, A. Worrall, and J. Ferryman, Visual object recognition using deformable models of vehicles. In: Workshop on Context-Based Vision, pp.75-86, 1995.

A. Taneja, L. Ballan, and M. Pollefeys, Image based detection of geometric changes in urban environments, 2011 International Conference on Computer Vision, pp.2336-2343, 2011.
DOI : 10.1109/ICCV.2011.6126515

A. Taneja, L. Ballan, and M. Pollefeys, City-Scale Change Detection in Cadastral 3D Models Using Images, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.113-120, 2013.
DOI : 10.1109/CVPR.2013.22

J. Tian, P. Reinartz, P. Angelo, and M. Ehlers, Region-based automatic building and forest change detection on Cartosat-1 stereo imagery, ISPRS Journal of Photogrammetry and Remote Sensing, vol.79, pp.226-239, 2013.
DOI : 10.1016/j.isprsjprs.2013.02.017

A. Toshev, P. Mordohai, and B. Taskar, Detecting and parsing architecture at city scale from range data, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.398-405, 2010.
DOI : 10.1109/CVPR.2010.5540187

C. Toth, A. Barsi, and T. Lovas, Vehicle recognition from LiDAR data, International Archives of the Photogrammetry, pp.163-166, 2003.

S. Tuermer, F. Kurz, P. Reinartz, and U. Stilla, Airborne Vehicle Detection in Dense Urban Areas Using HoG Features and Disparity Maps, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.6, issue.6, pp.2327-2337, 2013.
DOI : 10.1109/JSTARS.2013.2242846

A. O. Ulusoy and J. L. Mundy, Image-Based 4-d Reconstruction Using 3-d Change Detection, European Conference on Computer Vision (ECCV), pp.31-45, 2014.
DOI : 10.1007/978-3-319-10578-9_3

J. P. Underwood, D. Gillsjo, T. Bailey, and V. Vlaskine, Explicit 3D change detection using ray-tracing in spherical coordinates, 2013 IEEE International Conference on Robotics and Automation, pp.4735-4741, 2013.
DOI : 10.1109/ICRA.2013.6631251

B. Vallet, Homological persistence for shape based change detection between Digital Elevation Models, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.3, issue.2, pp.49-54, 2013.
DOI : 10.5194/isprsannals-II-3-W2-49-2013

B. Vallet, B. Soheilian, and M. Brédif, Combinatorial clustering and Its Application to 3D Polygonal Traffic Sign Reconstruction From Multiple Images, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.3, pp.165-172, 2014.
DOI : 10.5194/isprsannals-II-3-165-2014

B. Vallet, W. Xiao, and M. Brédif, EXTRACTING MOBILE OBJECTS IN IMAGES USING A VELODYNE LIDAR POINT CLOUD, ISPRS Annals of the Photogrammetry, pp.247-253, 2015.
DOI : 10.5194/isprsannals-II-3-W4-247-2015

A. Velizhev, R. Shapovalov, and K. Schindler, IMPLICIT SHAPE MODELS FOR OBJECT DETECTION IN 3D POINT CLOUDS, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.3, pp.179-184, 2012.
DOI : 10.5194/isprsannals-I-3-179-2012

V. Verma, R. Kumar, and S. Hsu, 3D Building Detection and Modeling from Aerial LIDAR Data, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2213-2220, 2006.
DOI : 10.1109/CVPR.2006.12

T. Vögtle and E. Steinle, Detection and recognition of changes in building geometry derived from multitemporal laserscanning data. International Archives of the Photogrammetry, Remote sensing and Spatial, Information Sciences, vol.35, issue.B2, pp.428-433, 2004.

G. Vosselman, B. Gorte, and G. Sithole, Change detection for updating medium scale maps using laser altimetry, International Archives of the Photogrammetry, pp.12-23, 2004.

T. Vu, M. Matsuoka, and F. Yamazaki, LIDAR-based change detection of buildings in dense urban areas, IEEE International Geoscience and Remote Sensing Symposium, vol.5, pp.3413-3416, 2004.

V. Walter, Object-based evaluation of LIDAR and multispectral data for automatic change detection in GIS databases, International Archives of the Photogrammetry, pp.723-728, 2004.

V. Walter, Object-based classification of integrated multispectral and LIDAR data for change detection and quality control in urban areas, Proceedings of the ISPRS WG VII, 2005.

M. Weinmann, B. Jutzi, S. Hinz, and C. Mallet, Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers, ISPRS Journal of Photogrammetry and Remote Sensing, vol.105, issue.0, pp.286-304, 2015.
DOI : 10.1016/j.isprsjprs.2015.01.016

M. Weinmann, B. Jutzi, and C. Mallet, Semantic 3D scene interpretation: A framework combining optimal neighborhood size selection with relevant features, ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.3, pp.181-188, 2014.
DOI : 10.5194/isprsannals-II-3-181-2014

D. Wolf and G. S. Sukhatme, Online simultaneous localization and mapping in dynamic environments, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004, pp.1301-1307, 2004.
DOI : 10.1109/ROBOT.2004.1308004

B. Wu and R. Nevatia, Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors, International Journal of Computer Vision, vol.I, issue.4, pp.247-266, 2007.
DOI : 10.1007/s11263-006-0027-7

W. Xiao, B. Vallet, M. Brédif, and N. Paparoditis, Street environment change detection from mobile laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, vol.107, pp.38-49, 2015.
DOI : 10.1016/j.isprsjprs.2015.04.011

W. Xiao, B. Vallet, and N. Paparoditis, Change Detection in 3D Point Clouds Acquired by a Mobile Mapping System, II-5/W2, pp.331-336, 2013.
DOI : 10.5194/isprsannals-II-5-W2-331-2013

W. Xiao, S. Xu, S. Oude-elberink, and G. Vosselman, Change detection of trees in urban areas using multi-temporal airborne lidar point clouds, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2012, pp.853207-853207, 2012.
DOI : 10.1117/12.974266

S. Xu, G. Vosselman, and S. Oude-elberink, Detection and Classification of Changes in Buildings from Airborne Laser Scanning Data, II-5/W2, pp.343-348, 2013.

S. Xu, G. Vosselman, and S. Oude-elberink, Multiple-entity based classification of airborne laser scanning data in urban areas, ISPRS Journal of Photogrammetry and Remote Sensing, vol.88, pp.1-15, 2014.
DOI : 10.1016/j.isprsjprs.2013.11.008

B. Yang and Z. Dong, A shape-based segmentation method for mobile laser scanning point clouds, ISPRS Journal of Photogrammetry and Remote Sensing, vol.81, pp.19-30, 2013.
DOI : 10.1016/j.isprsjprs.2013.04.002

W. Yao, S. Hinz, and U. Stilla, Automatic vehicle extraction from airborne LiDAR data of urban areas using morphological reconstruction, 2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008), pp.1-4, 2008.
DOI : 10.1109/PRRS.2008.4783167

W. Yao, S. Hinz, and U. Stilla, Extraction and motion estimation of vehicles in single-pass airborne LiDAR data towards urban traffic analysis, ISPRS Journal of Photogrammetry and Remote Sensing, vol.66, issue.3, pp.260-271, 2011.
DOI : 10.1016/j.isprsjprs.2010.10.005

Z. Yin and R. Collins, Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383184

X. Yu, J. Hyyppä, H. Kaartinen, and M. Maltamo, Automatic detection of harvested trees and determination of forest growth using airborne laser scanning, Remote Sensing of Environment, vol.90, issue.4, pp.451-462, 2004.
DOI : 10.1016/j.rse.2004.02.001

X. Yu, J. Hyyppa, A. Kukko, M. Maltamo, and H. Kaartinen, Change detection techniques for canopy height growth measurements using airborne laser scanner data Photogrammetric engineering and remote sensing, pp.72-1339, 2006.

A. R. Zamir, A. Dehghan, and M. Shah, Gmcp-tracker: Global multi-object tracking using generalized minimum clique graphs, European Conference on Computer Vision (ECCV), pp.343-356, 2012.

R. Zeibak and S. Filin, Change detection via terrestrial laser scanning In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol.36, issue.3, pp.430-435, 2007.

Z. Zhang, T. Tan, K. Huang, and Y. Wang, Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles, IEEE Transactions on Image Processing, vol.21, issue.1, pp.1-13, 2012.
DOI : 10.1109/TIP.2011.2160954

L. Zhou and G. Vosselman, Mapping curbstones in airborne and mobile laser scanning data, International Journal of Applied Earth Observation and Geoinformation, vol.18, pp.293-304, 2012.
DOI : 10.1016/j.jag.2012.01.024

Q. Zhou and U. Neumann, 5D dual contouring: A robust approach to creating building models from aerial lidar point clouds, European Conference on Computer Vision (ECCV), pp.115-128, 2010.

M. Z. Zia, M. Stark, B. Schiele, and K. Schindler, Detailed 3D Representations for Object Recognition and Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.11, pp.2608-2623, 2013.
DOI : 10.1109/TPAMI.2013.87

M. Z. Zia, M. Stark, and K. Schindler, Towards Scene Understanding with Detailed 3D Object Representations, International Journal of Computer Vision, vol.35, issue.11, pp.188-203, 2015.
DOI : 10.1007/s11263-014-0780-y